Distance measures of polarimetric SAR image data: A survey
Distance measure plays a critical role in various applications of polarimetric synthetic
aperture radar (PolSAR) image data. In recent decades, plenty of distance measures have …
aperture radar (PolSAR) image data. In recent decades, plenty of distance measures have …
Polarimetric SAR pixel offset tracking for large-gradient landslide displacement map**
Interferometry and pixel offset tracking (POT) are two major technologies to measure ground
deformation with repeat-pass synthetic aperture radar (SAR) observations. The SAR POT …
deformation with repeat-pass synthetic aperture radar (SAR) observations. The SAR POT …
Unsupervised polarimetric SAR image segmentation and classification using region growing with edge penalty
A region-based unsupervised segmentation and classification algorithm for polarimetric
synthetic aperture radar (SAR) imagery that incorporates region growing and a Markov …
synthetic aperture radar (SAR) imagery that incorporates region growing and a Markov …
Wishart deep stacking network for fast POLSAR image classification
Inspired by the popular deep learning architecture, deep stacking network (DSN), a specific
deep model for polarimetric synthetic aperture radar (POLSAR) image classification is …
deep model for polarimetric synthetic aperture radar (POLSAR) image classification is …
Superpixel-based classification with an adaptive number of classes for polarimetric SAR images
B Liu, H Hu, H Wang, K Wang, X Liu… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Polarimetric synthetic aperture radar (PolSAR) image classification, an important technique
in the remote sensing area, has been deeply studied for a couple of decades. In order to …
in the remote sensing area, has been deeply studied for a couple of decades. In order to …
Superpixel segmentation for polarimetric SAR imagery using local iterative clustering
F Qin, J Guo, F Lang - IEEE Geoscience and Remote Sensing …, 2014 - ieeexplore.ieee.org
The simple linear iterative clustering (SLIC) algorithm shows good performance in
superpixel generation for optical imagery. However, SLIC can perform poorly when there is …
superpixel generation for optical imagery. However, SLIC can perform poorly when there is …
Segmentation and classification of polarimetric SAR data using spectral graph partitioning
K Ersahin, IG Cumming, RK Ward - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
A new approach for segmentation and classification of polarimetric synthetic aperture radar
(POLSAR) data is proposed based on spectral graph partitioning. Since automated analysis …
(POLSAR) data is proposed based on spectral graph partitioning. Since automated analysis …
Polarimetric roll-invariant features and applications for polarimetric synthetic aperture radar ship detection: A comprehensive summary and investigation
SW Chen, MD Li, XC Cui, HL Li - IEEE Geoscience and Remote …, 2023 - ieeexplore.ieee.org
Polarimetric radar, which can acquire full polarization information, has become mainstream
in microwave remote sensing. However, radar target scattering responses are strongly …
in microwave remote sensing. However, radar target scattering responses are strongly …
Fully polarimetric SAR image classification via sparse representation and polarimetric features
L Zhang, L Sun, B Zou, WM Moon - IEEE Journal of Selected …, 2014 - ieeexplore.ieee.org
Feature extraction and image classification using polarimetric synthetic aperture radar
(PolSAR) images are currently of great interest in SAR applications. Generally, PolSAR …
(PolSAR) images are currently of great interest in SAR applications. Generally, PolSAR …
Coherency matrix estimation of heterogeneous clutter in high-resolution polarimetric SAR images
This paper presents an application of the recent advances in the field of spherically invariant
random vector (SIRV) modeling for coherency matrix estimation in heterogeneous clutter …
random vector (SIRV) modeling for coherency matrix estimation in heterogeneous clutter …